| /external/llvm-project/mlir/lib/Dialect/GPU/Transforms/ |
| D | ParallelLoopMapper.cpp | 49 if (processor != gpu::Processor::Sequential && in setMappingAttr()
64 enum MappingLevel { MapGrid = 0, MapBlock = 1, Sequential = 2 }; enumerator
73 if (mappingLevel < Sequential) { in operator ++()
88 if (dimension >= kNumHardwareIds || level == Sequential) in getHardwareIdForMapping()
89 return Processor::Sequential; in getHardwareIdForMapping()
100 return Processor::Sequential; in getHardwareIdForMapping()
112 return Processor::Sequential; in getHardwareIdForMapping()
116 return Processor::Sequential; in getHardwareIdForMapping()
|
| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | sequential_test.py | 45 model = keras.models.Sequential()
56 model = keras.models.Sequential()
68 model = keras.models.Sequential(keras.layers.Dense(1))
98 model = keras.models.Sequential()
105 model = keras.models.Sequential()
212 model = keras.models.Sequential()
221 inner_model = keras.models.Sequential()
224 model = keras.models.Sequential()
241 model = keras.models.Sequential()
280 new_model = keras.models.Sequential.from_config(config)
[all …]
|
| D | deferred_sequential_test.py | 163 m1 = keras.Sequential([shared_layer])
165 m2 = keras.Sequential([shared_layer])
169 m1 = keras.Sequential([shared_layer])
170 m2 = keras.Sequential([shared_layer, m1])
182 model = keras.Sequential([LossLayer()])
191 model = keras.Sequential([
202 model = keras.Sequential([
213 model = keras.models.Sequential()
|
| D | sequential.py | 52 class Sequential(functional.Functional): class
154 layers = super(Sequential, self).layers
360 super(Sequential, self).build(input_shape)
384 return super(Sequential, self).call(inputs, training=training, mask=mask)
476 for layer in super(Sequential, self).layers:
|
| D | feature_columns_integration_test.py | 55 model = keras.models.Sequential([
77 model = keras.models.Sequential([
118 model = keras.models.Sequential([
297 model = keras.models.Sequential(layers)
|
| /external/tensorflow/tensorflow/python/keras/wrappers/ |
| D | scikit_learn.py | 27 from tensorflow.python.keras.models import Sequential
89 Sequential.fit, Sequential.predict, Sequential.predict_classes,
90 Sequential.evaluate
163 fit_args = copy.deepcopy(self.filter_sk_params(Sequential.fit))
240 kwargs = self.filter_sk_params(Sequential.predict_classes, kwargs)
263 kwargs = self.filter_sk_params(Sequential.predict_proba, kwargs)
294 kwargs = self.filter_sk_params(Sequential.evaluate, kwargs)
332 kwargs = self.filter_sk_params(Sequential.predict, kwargs)
351 kwargs = self.filter_sk_params(Sequential.evaluate, kwargs)
|
| /external/tensorflow/tensorflow/python/keras/premade/ |
| D | wide_deep_test.py | 44 dnn_model = sequential.Sequential([core.Dense(units=1, input_dim=3)])
61 dnn_model = sequential.Sequential(
86 dnn_model = sequential.Sequential([core.Dense(units=1, input_dim=3)])
123 dnn_model = sequential.Sequential([core.Dense(units=1, input_dim=3)])
139 dnn_model = sequential.Sequential([core.Dense(units=1)])
162 dnn_model = sequential.Sequential([core.Dense(units=1, input_dim=3)])
165 sequential.Sequential([core.Dense(units=1, input_dim=3)]))
207 dnn_model = sequential.Sequential([core.Dense(units=1)])
209 combined = sequential.Sequential([dense_feature_layer, wide_deep_model])
237 combined_linear = sequential.Sequential(
[all …]
|
| /external/swiftshader/third_party/subzero/src/ |
| D | IceThreading.h | 58 BoundedProducerConsumerQueue(bool Sequential, size_t MaxSize = MaxStaticSize)
59 : MaxSize(std::min(MaxSize, MaxStaticSize)), Sequential(Sequential) {} in MaxSize()
65 Shrunk.wait(L, [this] { return size() < MaxSize || Sequential; }); in blockingPush()
75 GrewOrEnded.wait(L, [this] { return IsEnded || !empty() || Sequential; });
129 const bool Sequential; variable
|
| /external/tensorflow/tensorflow/python/keras/tests/ |
| D | get_config_test.py | 44 model = sequential.Sequential.from_config(get_config_samples.SEQUENTIAL_DNN)
48 model = sequential.Sequential.from_config(get_config_samples.SEQUENTIAL_CNN)
52 model = sequential.Sequential.from_config(
|
| D | memory_checker_test.py | 36 model = keras.models.Sequential()
60 model = keras.Sequential([
|
| D | model_architectures.py | 31 model = keras.Sequential([
40 model = keras.Sequential([
87 inner_model = keras.Sequential([
142 inner_model = keras.Sequential([
|
| /external/tensorflow/tensorflow/python/keras/ |
| D | keras_parameterized_test.py | 64 self.assertNotIsInstance(models[0], keras.models.Sequential)
65 self.assertNotIsInstance(models[1], keras.models.Sequential)
66 self.assertIsInstance(models[2], keras.models.Sequential)
113 self.assertNotIsInstance(models[0], keras.models.Sequential)
114 self.assertNotIsInstance(models[1], keras.models.Sequential)
115 self.assertIsInstance(models[2], keras.models.Sequential)
154 self.assertNotIsInstance(models[0], keras.models.Sequential)
155 self.assertNotIsInstance(models[1], keras.models.Sequential)
193 self.assertNotIsInstance(models[0], keras.models.Sequential)
|
| D | models.py | 46 Sequential = sequential.Sequential # pylint: disable=invalid-name variable
166 if isinstance(model, Sequential):
311 if not isinstance(model, Sequential):
337 cloned_model = Sequential(layers=layers, name=model.name)
350 cloned_model = Sequential(
360 cloned_model = Sequential(layers=[input_layer] + layers, name=model.name)
431 if isinstance(model, Sequential):
656 elif isinstance(model, Sequential):
|
| D | optimizers_test.py | 39 model = keras.models.Sequential()
87 model = keras.models.Sequential()
170 model = keras.models.Sequential()
214 model = keras.models.Sequential()
241 model = keras.models.Sequential()
|
| D | combinations_test.py | 124 self.assertNotIsInstance(models[0], keras_models.Sequential)
125 self.assertNotIsInstance(models[1], keras_models.Sequential)
126 self.assertIsInstance(models[2], keras_models.Sequential)
|
| /external/eigen/doc/snippets/ |
| D | DenseBase_LinSpaced_seq.cpp | 1 cout << VectorXi::LinSpaced(Sequential,4,7,10).transpose() << endl;
2 cout << VectorXd::LinSpaced(Sequential,5,0.0,1.0).transpose() << endl;
|
| /external/llvm-project/mlir/include/mlir/Dialect/GPU/ |
| D | ParallelLoopMapperAttr.td | 25 def Sequential : I64EnumAttrCase<"Sequential", 6>;
28 BlockX, BlockY, BlockZ, ThreadX, ThreadY, ThreadZ, Sequential]> {
|
| /external/tensorflow/tensorflow/python/keras/utils/ |
| D | vis_utils_test.py | 31 model = keras.Sequential()
55 submodel = keras.Sequential(
94 model = keras.Sequential([
|
| D | multi_gpu_utils_test.py | 68 model = keras.models.Sequential()
128 model = keras.models.Sequential()
184 model = keras.models.Sequential()
226 nested_model = keras.models.Sequential([
|
| /external/llvm-project/flang/runtime/ |
| D | connection.h | 21 enum class Access { Sequential, Direct, Stream }; enumerator
28 Access access{Access::Sequential}; // ACCESS='SEQUENTIAL', 'DIRECT', 'STREAM'
|
| /external/tensorflow/tensorflow/python/keras/benchmarks/ |
| D | keras_cpu_benchmark_test.py | 60 model = tf.keras.Sequential()
71 model = tf.keras.Sequential()
87 model = tf.keras.Sequential()
|
| /external/llvm-project/llvm/test/MachineVerifier/ |
| D | test_vector_reductions.mir | 28 ; CHECK: Bad machine code: Sequential FADD/FMUL vector reduction requires a scalar 1st operand
31 ; CHECK: Bad machine code: Sequential FADD/FMUL vector reduction must have a vector 2nd operand
|
| /external/tensorflow/tensorflow/python/keras/integration_test/ |
| D | module_test.py | 45 m = tf.keras.models.Sequential(
53 linear = tf.keras.models.Sequential(
|
| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | save_test.py | 314 model = sequential.Sequential(
420 model = keras.models.Sequential()
455 model = keras.models.Sequential()
485 model = keras.models.Sequential()
509 model = keras.models.Sequential()
521 model = keras.models.Sequential()
535 model = keras.models.Sequential()
700 model = keras.models.Sequential()
724 model = keras.models.Sequential()
737 model = keras.models.Sequential()
[all …]
|
| /external/tensorflow/tensorflow/lite/micro/examples/magic_wand/train/ |
| D | train_test.py | 54 self.assertIsInstance(cnn, tf.keras.Sequential)
55 self.assertIsInstance(lstm, tf.keras.Sequential)
|